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Ubiquitous-cloud-inspired deterministic and stochastic service provider models with mixed-integer-programming

IAES International Journal of Artificial Intelligence · Vol. 13 No. 2 (2024) · hlm. 1304–1311

DOI
10.11591/ijai.v13.i2.pp1304-1311
ISSN
2252-8938, 2089-4872
Terbit
2024-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The ubiquitous computing system is a paradigm shift from personal computing to physical integration. This study focuses on the deterministic and stochastic service provider model to provide sub-services to computing nodes to minimize rejection values. This deterministic service provider model aims to reduce the cost of sending data from one place to another by considering the processing capacity at each node and the demand for each sub-service. At the same time, stochastic service provider aims to optimize service provision in a stochastic environment where parameters such as demand and capacity may change randomly. The novelties of this research are the deterministic and stochastic service provider models and algorithms with mixed integer programming (MIP). The test results show that the solution found meets all the constraints and the smallest objective function value. Stochastic modeling minimizes denial of service problems during wireless sensor network (WSN) distribution. The model resented is the ability of wireless sensors to establish connections between distributed computing nodes. Stochastic modeling minimizes denial of service problems during WSN distribution.

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  • Universitas Sumatera Utara
  • Binus University
  • Universitas Raharja
  • Medan Area University
  • Politeknik Negeri Medan
  • Nasional University
  • Universitas Muhammadiyah Sumatera Utara
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Rekan penulisOrganisasiArtikel bersama
Herman MawengkangUniversitas Sumatera Utara4
Al-Khowarizmi Al-KhowarizmiUniversitas Muhammadiyah Sumatera Utara3
Dadang PriyantoUniversitas Bumigora2
Mochamad WahyudiUniversitas Bina Sarana Informatika2
Hengki Tamando SihotangAfiliasi tidak diketahui2
Desi VinsensiaAfiliasi tidak diketahui2
Poltak SihombingUniversitas Sumatera Utara2
Marwan M. Al-AkaidiArab Open University1
Edi AbdurachmanBinus University1
Arief RamadhanTelkom University1
Gunadi EmmanuelBinus University1
Agung TrisetyarsoBinus University1
Erna Budhiarti NababanUniversitas Sumatera Utara1
Heru MardiansyahUniversitas Sumatera Utara1
Saib SuwiloUniversitas Sumatera Utara1
Naemah MubarakahUniversitas Sumatera Utara1
Fahmi FahmiUniversitas Sumatera Utara1
Eka Purnama HarahapUniversitas Raharja1
Lina Naelal HusnaUniversitas Raharja1
ZulhamMedan Area University1
Zulkarnain LubisMedan Area University1
Muhammad Reza AuliaUniversitas Teuku Umar1
Sherly AstutiSun Yat-sen University1
Muhammad SalamuddinUniversitas Raharja1
Surya Hadi DharmaPoliteknik Negeri Medan1
Ilmi AbdullahUniversitas Sumatera Utara1
Muhammad SabriUniversitas Sumatera Utara1
Muhammad TurmuziUniversitas Sumatera Utara1
Arridina Susan SilitongaPoliteknik Negeri Medan1
Marnida YusfianiState University of Medan1
Ucuk DarusalamNasional University1
Purnomo Sidi PriambodoUniversity of Indonesia1
Novi Dian NathasiaNasional University1
Gunawan GunawanUniversitas Halu Oleo1
Sutarman SutarmanUniversitas Sumatera Utara1
Mahyuddin K. M. NasutionUniversitas Sumatera Utara1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Ubiquitous-cloud-inspired deterministic and stochastic service provider models with mixed-integer-programming</dc:title>
	<dc:creator>Sumarlin, Sumarlin</dc:creator>
	<dc:creator>Zarlis, Muhammad</dc:creator>
	<dc:creator>Suherman, Suherman</dc:creator>
	<dc:creator>Efendi, Syahril</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Mixed interger programming; Model; Optimization; Ubiquitous clouds</dc:subject>
	<dc:description xml:lang="en-US">The ubiquitous computing system is a paradigm shift from personal computing to physical integration. This study focuses on the deterministic and stochastic service provider model to provide sub-services to computing nodes to minimize rejection values. This deterministic service provider model aims to reduce the cost of sending data from one place to another by considering the processing capacity at each node and the demand for each sub-service. At the same time, stochastic service provider aims to optimize service provision in a stochastic environment where parameters such as demand and capacity may change randomly. The novelties of this research are the deterministic and stochastic service provider models and algorithms with mixed integer programming (MIP). The test results show that the solution found meets all the constraints and the smallest objective function value. Stochastic modeling minimizes denial of service problems during wireless sensor network (WSN) distribution. The model resented is the ability of wireless sensors to establish connections between distributed computing nodes. Stochastic modeling minimizes denial of service problems during WSN distribution.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/23505</dc:identifier>
	<dc:identifier>10.11591/ijai.v13.i2.pp1304-1311</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 2: June 2024; 1304-1311</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v13.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/23505/13933</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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